Keyan Ding
Impact in
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- Advanced Image Processing Techniques
- Image and Video Quality Assessment
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Image and Object Detection Techniques
- Advanced Vision and Imaging
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 6
- Image and Video Quality Assessment 5
- Image and Object Detection Techniques 5
- Image Retrieval and Classification Techniques 4
- Co-authors
- Shiqi Wang (5 shared papers)Eero P. Simoncelli (1 shared paper)Kede Ma (2 shared papers)Linfang Xiao (4 shared papers)Guirong Weng (5 shared papers)Ronggang Wang (1 shared paper)Xiuqin Rao (2 shared papers)Huajun Chen (6 shared papers)
- Journals
- Nature Communications (2 papers)IEEE Transactions on Multimedia (2 papers)Computers and Electronics in Agriculture (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Keyan Ding
19 papers receiving 874 citations
Keyan Ding's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 655
- Media Technology 261
- Computer Graphics and Computer-Aided Design 29
- Industrial and Manufacturing Engineering 37
- Biophysics 16
Countries citing papers authored by Keyan Ding
This map shows the geographic impact of Keyan Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keyan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyan Ding more than expected).
Fields of papers citing papers by Keyan Ding
This network shows the impact of papers produced by Keyan Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keyan Ding. The network helps show where Keyan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyan Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Image Quality Assessment: Unifying Structure and Texture Similarity Hit paper breakdown → | 2020 | 523 |
| 2 | 2016 | 138 | |
| 3 | 2018 | 100 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 37 | |
| 6 | 2024 | 17 | |
| 7 | 2025 | 15 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 5 | |
| 11 | Corn quality evaluation with computer vision. | 1990 | 4 |
| 12 | 2025 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Keyan Ding
Keyan Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Media Technology and Computational Theory and Mathematics, having authored 23 papers that have together received 906 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Image and Video Quality Assessment (5 papers), Image and Object Detection Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (655 citations), Media Technology (261 citations), Computer Graphics and Computer-Aided Design (29 citations), Industrial and Manufacturing Engineering (37 citations) and Biophysics (16 citations). Keyan Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shiqi Wang, Eero P. Simoncelli, Kede Ma, Linfang Xiao, Guirong Weng, Ronggang Wang, Xiuqin Rao, Huajun Chen, Qiang Zhang and Xiang Zhuang. Their work appears in journals such as Nature Communications, IEEE Transactions on Multimedia, Computers and Electronics in Agriculture, IEEE Journal of Biomedical and Health Informatics and Nature Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.